Commutative N-polyregular Functions: Decidability and Characterization

Conceptos Básicos

Commutative N-polyregular functions can be effectively characterized and their membership is decidable. This resolves an open conjecture on the relationship between star-free N-polyregular functions and star-free Z-polyregular functions.

Resumen

The paper addresses two main questions regarding commutative N-polyregular functions:

1. Decidability of membership:

• It is shown that it is decidable whether a given commutative Z-polyregular function is an N-polyregular function.
• This is achieved by providing a semantic characterization of N-rational polynomials, which are a subclass of N-polyregular functions.
• A counter-example is provided to refute a previous result on the characterization of N-rational polynomials.

2. Decidability of aperiodicity:

• It is shown that for commutative N-polyregular functions, being ultimately polynomial is equivalent to being star-free.
• This resolves an open conjecture on the relationship between star-free N-polyregular functions and star-free Z-polyregular functions.
• The decidability of this property follows from the effective conversions between the different characterizations.

Additionally, the paper introduces the notion of a residual transducer as a canonical model of computation for N-polyregular functions, which is conjectured to be computable for all N-polyregular functions.

Estadísticas

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Ideas clave extraídas de

Commutative N-polyregular functions

by Aliaume Lope... a las arxiv.org 04-04-2024

https://arxiv.org/pdf/2404.02232.pdf

Consultas más profundas

What are the implications of the residual transducer construction for the non-commutative case of N-polyregular functions

The construction of the residual transducer for non-commutative N-polyregular functions has significant implications. In the non-commutative case, the residual transducer provides a canonical model of computation for N-polyregular functions by generalizing the notion of residual transducers previously introduced in Z-polyregular functions. This allows for the effective computation of functions that are not necessarily commutative, extending the applicability of the concept beyond commutative functions. By leveraging the residual transducer construction, decision problems related to non-commutative N-polyregular functions can be addressed in a systematic and structured manner, providing a clear framework for analyzing and understanding the behavior of these functions.

Can the techniques developed in this paper be extended to other subclasses of rational series, such as weighted automata or formal power series

The techniques developed in this paper for commutative N-polyregular functions can potentially be extended to other subclasses of rational series, such as weighted automata or formal power series. By adapting the concepts and methodologies used in the study of commutative N-polyregular functions, it may be possible to analyze and characterize the behavior of functions in these related subclasses. The key insights and results obtained in this work, such as the construction of canonical models of computation and the characterization of function classes, can serve as a foundation for exploring and understanding the properties of other rational series subclasses. This extension could lead to a deeper understanding of the relationships between different classes of functions and their decision problems.

How do the insights from this work on commutative N-polyregular functions relate to the broader landscape of function classes and their decision problems, as depicted in Figure 1

The insights from this work on commutative N-polyregular functions provide valuable contributions to the broader landscape of function classes and their decision problems, as depicted in Figure 1. By addressing key questions and providing decidable characterizations for commutative N-polyregular functions, this research enhances our understanding of the relationships between different classes of functions and their computational properties. The results obtained in this study contribute to the ongoing efforts to classify and analyze function classes based on their computational power and expressiveness. The systematic approach taken in this work sheds light on the decidability of membership problems and provides effective conversion algorithms, which can have implications for decision problems in related function classes. Overall, the insights from this work contribute to the advancement of theory in computational models and automata extensions.